Guo‐Liang Tian

166 papers and 1.6k indexed citations i.

About

Guo‐Liang Tian is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Guo‐Liang Tian has authored 166 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Statistics and Probability, 33 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Guo‐Liang Tian’s work include Statistical Methods and Bayesian Inference (65 papers), Statistical Methods and Inference (42 papers) and Statistical Distribution Estimation and Applications (32 papers). Guo‐Liang Tian is often cited by papers focused on Statistical Methods and Bayesian Inference (65 papers), Statistical Methods and Inference (42 papers) and Statistical Distribution Estimation and Applications (32 papers). Guo‐Liang Tian collaborates with scholars based in China, Hong Kong and United States. Guo‐Liang Tian's co-authors include Man‐Lai Tang, Ming Tan, Kai Wang Ng, Hong‐Bin Fang, Mingqiu Wang, Wei Lin, Scott E. Strome, Peter J. Houghton, Xingfa Gu and Qinhuo Liu and has published in prestigious journals such as Blood, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Guo‐Liang Tian i

Fields of papers citing papers by Guo‐Liang Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Liang Tian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guo‐Liang Tian. The network helps show where Guo‐Liang Tian may publish in the future.

Countries citing papers authored by Guo‐Liang Tian

Since Specialization
Citations

This map shows the geographic impact of Guo‐Liang Tian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guo‐Liang Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Liang Tian more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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